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Go to:Introduction Protecting personal and sensitive data, and complying with security and privacy regulations, is high priority for organizations. Inability to protect sensitive user and customer data not only violates regulations but also leads to loss of reputation and hence loss of current and future customers, along with costs to correct a data breach. The average…
Introduction Snowflake just recorded the largest IPO in history – confirming the demand for high-performance data warehousing in the enterprise analytics space. Snowflake’s offering is extremely attractive upfront. It is easy to use with a relatively fast and seamless installation process. On smaller scale traditional OLAP workloads, users experience great performance with a lulling consumption…
As companies like Snowflake have proven, there is strong demand for data warehouses that have been re-architected for the cloud. It’s tough to argue with these cloud data warehouses as flexible and scalable places to store data. With their ease of use and elasticity, they can also appear cost-effective for traditional SQL use cases. However,…
The world of Hadoop has grown overly complex. As data analytics has evolved, the need for add-on components has grown. The initial Apache definition of “Big Data” did not include streaming data, a cloud data warehouse, graph analytics, location intelligence, and machine learning, to name just a few examples. In an era where more and…
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